Evaluation of a media campaign aimed at preventing initiation into drug injection among street youth
Bibliographic record
Abstract
Aims: A campaign to prevent initiation into drug injecting among street youth who have never injected drugs (NIDUs) was carried out in Montréal, Canada in 2005. Evaluation objectives were (1) to assess the campaign's ability to reach NIDU street youth and (2) to understand the campaign's effects on this population.Methods: A survey was conducted, as well as semi-structured interviews.Findings: The campaign enjoyed a high degree of visibility. It spoke to young NIDUs, causing them to reflect on both drug injecting and their own non-injection drug use. The campaign had a positive impact in terms of their views on drug injecting. Despite its limited scope, young NIDUs also considered the campaign to be a tool with the potential to contribute to preventing initiation into drug injecting among their peers.Conclusions: Media prevention campaigns are able to reach hidden populations through the use of bold and innovative techniques. Such campaigns can also contribute to influencing the attitudes and perceptions of these populations. However, more comprehensive injection prevention programs need to be established.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".